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https://gitlab.freedesktop.org/gstreamer/gstreamer.git
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282 lines
8.7 KiB
Python
Executable file
282 lines
8.7 KiB
Python
Executable file
#!/usr/bin/env python
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# -*- coding: utf-8; mode: python; -*-
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#
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# GStreamer Debug Viewer - View and analyze GStreamer debug log files
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#
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# Copyright (C) 2007 René Stadler <mail@renestadler.de>
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#
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# This program is free software; you can redistribute it and/or modify it
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# under the terms of the GNU General Public License as published by the Free
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# Software Foundation; either version 3 of the License, or (at your option)
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# any later version.
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#
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# This program is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
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# more details.
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#
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# You should have received a copy of the GNU General Public License along with
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# this program. If not, see <http://www.gnu.org/licenses/>.
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"""GStreamer Debug Viewer test suite for the custom tree models."""
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import sys
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import os
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import os.path
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from glob import glob
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from unittest import TestCase, main as test_main
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from .. import Common, Data
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from .. GUI.filters import CategoryFilter, Filter
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from .. GUI.models import (FilteredLogModel,
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LogModelBase,
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SubRange,)
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class TestSubRange (TestCase):
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def test_len(self):
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values = list(range(20))
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sr = SubRange(values, 0, 20)
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self.assertEqual(len(sr), 20)
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sr = SubRange(values, 10, 20)
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self.assertEqual(len(sr), 10)
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sr = SubRange(values, 0, 10)
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self.assertEqual(len(sr), 10)
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sr = SubRange(values, 5, 15)
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self.assertEqual(len(sr), 10)
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def test_iter(self):
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values = list(range(20))
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sr = SubRange(values, 0, 20)
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self.assertEqual(list(sr), values)
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sr = SubRange(values, 10, 20)
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self.assertEqual(list(sr), list(range(10, 20)))
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sr = SubRange(values, 0, 10)
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self.assertEqual(list(sr), list(range(0, 10)))
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sr = SubRange(values, 5, 15)
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self.assertEqual(list(sr), list(range(5, 15)))
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class Model (LogModelBase):
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def __init__(self):
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LogModelBase.__init__(self)
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for i in range(20):
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self.line_offsets.append(i * 100)
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self.line_levels.append(Data.debug_level_debug)
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def ensure_cached(self, line_offset):
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pid = line_offset // 100
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if pid % 2 == 0:
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category = b"EVEN"
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else:
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category = b"ODD"
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line_fmt = (b"0:00:00.000000000 %5i 0x0000000 DEBUG "
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b"%20s dummy.c:1:dummy: dummy")
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line_str = line_fmt % (pid, category,)
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log_line = Data.LogLine.parse_full(line_str)
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self.line_cache[line_offset] = log_line
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def access_offset(self, line_offset):
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return ""
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class IdentityFilter (Filter):
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def __init__(self):
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def filter_func(row):
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return True
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self.filter_func = filter_func
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class RandomFilter (Filter):
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def __init__(self, seed):
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import random
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rand = random.Random()
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rand.seed(seed)
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def filter_func(row):
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return rand.choice((True, False,))
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self.filter_func = filter_func
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class TestDynamicFilter (TestCase):
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def test_unset_filter_rerange(self):
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full_model = Model()
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filtered_model = FilteredLogModel(full_model)
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row_list = self.__row_list
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self.assertEqual(row_list(full_model), list(range(20)))
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self.assertEqual(row_list(filtered_model), list(range(20)))
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filtered_model.set_range(5, 16)
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self.assertEqual(row_list(filtered_model), list(range(5, 16)))
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def test_identity_filter_rerange(self):
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full_model = Model()
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filtered_model = FilteredLogModel(full_model)
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row_list = self.__row_list
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self.assertEqual(row_list(full_model), list(range(20)))
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self.assertEqual(row_list(filtered_model), list(range(20)))
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filtered_model.add_filter(IdentityFilter(),
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Common.Data.DefaultDispatcher())
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filtered_model.set_range(5, 16)
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self.assertEqual(row_list(filtered_model), list(range(5, 16)))
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def test_filtered_range_refilter_skip(self):
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full_model = Model()
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filtered_model = FilteredLogModel(full_model)
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row_list = self.__row_list
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filtered_model.add_filter(CategoryFilter("EVEN"),
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Common.Data.DefaultDispatcher())
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self.__dump_model(filtered_model, "filtered")
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self.assertEqual(row_list(filtered_model), list(range(1, 20, 2)))
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self.assertEqual([filtered_model.line_index_from_super(i)
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for i in range(1, 20, 2)],
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list(range(10)))
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self.assertEqual([filtered_model.line_index_to_super(i)
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for i in range(10)],
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list(range(1, 20, 2)))
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filtered_model.set_range(1, 20)
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self.__dump_model(filtered_model, "ranged (1, 20)")
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self.__dump_model(filtered_model, "filtered range")
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self.assertEqual([filtered_model.line_index_from_super(i)
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for i in range(0, 19, 2)],
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list(range(10)))
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self.assertEqual([filtered_model.line_index_to_super(i)
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for i in range(10)],
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list(range(1, 20, 2)))
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filtered_model.set_range(2, 20)
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self.__dump_model(filtered_model, "ranged (2, 20)")
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self.assertEqual(row_list(filtered_model), list(range(3, 20, 2)))
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def test_filtered_range_refilter(self):
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full_model = Model()
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filtered_model = FilteredLogModel(full_model)
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row_list = self.__row_list
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rows = row_list(full_model)
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rows_filtered = row_list(filtered_model)
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self.__dump_model(full_model, "full model")
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self.assertEqual(rows, rows_filtered)
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self.assertEqual([filtered_model.line_index_from_super(i)
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for i in range(20)],
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list(range(20)))
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self.assertEqual([filtered_model.line_index_to_super(i)
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for i in range(20)],
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list(range(20)))
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filtered_model.set_range(5, 16)
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self.__dump_model(filtered_model, "ranged model (5, 16)")
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rows_ranged = row_list(filtered_model)
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self.assertEqual(rows_ranged, list(range(5, 16)))
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self.__dump_model(filtered_model, "filtered model (nofilter, 5, 15)")
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filtered_model.add_filter(CategoryFilter("EVEN"),
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Common.Data.DefaultDispatcher())
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rows_filtered = row_list(filtered_model)
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self.assertEqual(rows_filtered, list(range(5, 16, 2)))
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self.__dump_model(filtered_model, "filtered model")
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def test_random_filtered_range_refilter(self):
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full_model = Model()
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filtered_model = FilteredLogModel(full_model)
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row_list = self.__row_list
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self.assertEqual(row_list(full_model), list(range(20)))
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self.assertEqual(row_list(filtered_model), list(range(20)))
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filtered_model.add_filter(RandomFilter(538295943),
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Common.Data.DefaultDispatcher())
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random_rows = row_list(filtered_model)
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self.__dump_model(filtered_model)
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filtered_model = FilteredLogModel(full_model)
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filtered_model.add_filter(RandomFilter(538295943),
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Common.Data.DefaultDispatcher())
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self.__dump_model(filtered_model, "filtered model")
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self.assertEqual(row_list(filtered_model), random_rows)
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filtered_model.set_range(1, 10)
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self.__dump_model(filtered_model)
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self.assertEqual(row_list(filtered_model), [
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x for x in range(0, 10) if x in random_rows])
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def __row_list(self, model):
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return [row[Model.COL_PID] for row in model]
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def __dump_model(self, model, comment=None):
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# TODO: Provide a command line option to turn this on and off.
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return
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if not hasattr(model, "super_model"):
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# Top model.
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print("\t(%s)" % ("|".join([str(i).rjust(2)
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for i in self.__row_list(model)]),), end=' ')
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else:
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top_model = model.super_model
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if hasattr(top_model, "super_model"):
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top_model = top_model.super_model
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top_indices = self.__row_list(top_model)
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positions = self.__row_list(model)
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output = [" "] * len(top_indices)
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for i, position in enumerate(positions):
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output[position] = str(i).rjust(2)
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print("\t(%s)" % ("|".join(output),), end=' ')
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if comment is None:
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print()
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else:
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print(comment)
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if __name__ == "__main__":
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test_main()
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